| The garment industry is still a labor-intensive industry,most sewing operations still require sewing workers to manipulate sewing machines to complete,and the production process is highly uncertain.Clothes companies are offering a wider range of products to meet the individualized and varied needs of their customers while also making their businesses more competitive.However,product diversity also makes the design and production process of garment products more complex.Complexity control and management have grown in importance for businesses.Sewing is an important part of garment production.Sewing workers and machines work concurrently during the sewing process,and sewing workers play a major role in the production process.The skills level of sewing workers has an important impact on production efficiency and product quality.This paper applies complexity and its related theories to the field of garment production to quantify the complexity of clothing products and their production process.The paper mainly includes the following four aspects:(1)Revealed the mechanism of interaction between complexity and its influencing factors.This article elaborates on the evolution characteristics of the complexity of clothing sewing production,based on the TRIZ evolution law.It also presents a panoramic view of the evolution of technological maturity in clothing sewing systems from macro to micro,and it employs the method of system dynamics to build a causal relationship model of clothing sewing production maturity and its influencing factors.This model reveals the complexity of various stages of sewing production technology development and the mechanism of their influencing factors.(2)Proposed a mechanism for transmitting changes to clothing products.This article is based on the design structure matrix and provides an in-depth analysis of the production complexity of clothing products from the perspectives of customer needs,functional structures,and sewing processes.And a structural matrix partitioning algorithm was used to construct a global structural matrix for parts changes caused by changes in customer needs.The complexity of clothing product change transmission was mathematically described using the method of information entropy.Use AMOS software to conduct statistical analysis on the path and various influencing factors of clothing product change transmission.The case study found that:(1)The number of attributes that correspond to a customer’s desire for clothing products is directly correlated with the complexity of that demand.The level of complexity increases with the quantity and proportion of corresponding attributes that customers of clothing products require.(2)The complexity level of clothing products is highest when the median of optional components is selected.Based on this,statistical analyses of the various influencing factors were conducted using structural equation modeling,Person correlation analysis with SPSS software,and path analysis with AMOS software.The research results indicate that there is a significant correlation between the complexity of customer demand for clothing products and the complexity of sewing processes.(3)This article studies the complexity and influencing factors of the clothing production process chain from three levels: macro,meso,and micro,and proposes a prediction model for the complexity of the clothing production process chain.Traditional production process chain complexity is evaluated by taking into account various factors,including the number of machines,their status,the number of parts,the operation time,and the order in which the parts are processed.However,these methods overlook the human factor.This article employs the modeling method to examine sewing operations and suggests an action complexity evaluation method based on the kinds and quantities of sewing operations in order to take human factors into account when evaluating the complexity of the production process;From the perspective of information theory,the cognitive decision-making process of humans is described as an information processing process,and an objective evaluation method considering human complexity is proposed.This method divides human complexity into two types: perceptual complexity and cognitive complexity.Taking sewing operations as the background,based on the human information processing model,an evaluation method for perceived complexity is proposed using information entropy theory based on the types and relationships of perceived information that sewing workers experience during sewing operations;Based on the theory of human reliability,an evaluation method for cognitive complexity is proposed using the theory of information entropy based on the types and quantities of human cognitive activities.(4)A functional relationship between the complexity of sewing workers’ actions,posture maintenance,perception,and cognitive complexity with sewing defect rate was further constructed based on the study of operational complexity.Statistical analysis showed that there is a significant correlation between the complexity of sewing operations and the rate of sewing defects.The greater the complexity of sewing operations,the higher the rate of sewing defects.The rate of sewing errors and cognitive complexity are significantly correlated.The greater the cognitive complexity of the sewing process,the higher the sewing defect rate. |
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